BandPassFilter

广度优先搜索和深度优先搜索在网络拓扑图上的实现。广度优先搜索是从某一节点开始，搜索与其线连接的所有节点，按照广度方向像外扩展，直到不重复遍历所有节点；深度优先搜索是从某一节点开始，沿着其搜索到的第一个节点不断深入下去，当无法再深入的时候，回溯节点，然后再在回溯中的某一节点开始沿另一个方向深度搜索，直到不重复的遍历所有节点。 (Breadth-first search and depth-first search in the network topology is realized. Breadth-first search is started from a node, searching all the nodes connected to its line, in accordance with the breadth direction as extracapsular extension, until no repeat traverse all nodes depth-first search is started from a node along its search to the first nodes deepening it, when it can not go any further, backtracking node, and then back again in the beginning of a node depth search in the other direction until the non-repetition of the traverse all nodes.)

matlab code for the v shape recognition in heart shape

维纳滤波器仿真，是对基本算法原理的实现，没有考虑误差模型(Wiener filter simulation, the realization of the basic algorithm principle, without considering the error model)

arnold图像置换，可以用于图像加密。(arnold image replacement, can be used for image encryption.)

c++语言或MATLAB编程对256×256的灰度图像进行8×8DCT变换，对变换后的结果进行处理： 采用区域编码和阈值编码方法实现图像压缩，保留 50％ 的系数(区域编码保留前 50%个系数，阈值编码保留 50%的大系数）； 再反变换后，对比原始图像和处理后的图像。(C++ or MATLAB programming performs 8 * 8DCT transform on 256 * 256 grayscale images, processing the transformed results: The region coding and threshold coding are used to compress the image, and the coefficient of 50% is retained (the first 50% coefficients are reserved for the region code and the large coefficient of the threshold code is retained by 50%). After inverse transformation, the original image and the processed image are compared.)

讲解滤波与二值图像处理，比较简单的图像处理源码(Explain the filtering and binary image processing, image processing source code is relatively simple)

image processing and image statistics

matlab图像处理中经典图片，包括lena，baboon，等(MATLAB image processing classic pictures, including Lena, baboon, etc.)

曲面拟合法是数字图像相关方法中的一种亚像素求解算法，通过此方法可以求得被测物体表面的全场位移。(Surface fitting method is a sub- pixel method in digital image correlation method.)

说明：  简单图像压缩处理，正交变化，图像压缩灰度变化(Simple Image Compression Processing, Orthogonal Change, Gray Level Change of Image Compression)